刘建东 Jian-Dong Liu Ph.D. candidate, LAMDA Group School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Supervisor: Prof. Zhi-Hua Zhou Email: liujd@lamda.nju.edu.cn

Biography

Currently I am a third year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I received my B.Sc. degree from School of Computer Science and Technology, Shandong University in June 2021. In the same year, I was admitted to pursue Ph.D. degree in Nanjing University without entrance examination.

Research Interests

My research interests include Machine Learning, Learnware, and Data Mining.

Publications

• Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming.

  Jian-Dong Liu, Zhi-Hao Tan and Zhi-Hua Zhou.

  In: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Toronto, Canada, 2025.

• Identifying and Reusing Learnwares across Different Label Spaces.

  Jian-Dong Liu, Zhi-Hao Tan and Zhi-Hua Zhou.

  In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), Montreal, Canada, 2025.

• Beimingwu: A Learnware Dock System. [PDF, arxiv]

  Zhi-Hao Tan*, Jian-Dong Liu*, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu and Zhi-Hua Zhou. (* indicates equal contribution)

  In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24), Barcelona, Spain, 2024.

• Towards Making Learnware Specification and Market Evolvable. [PDF, code, poster]

  Jian-Dong Liu, Zhi-Hao Tan and Zhi-Hua Zhou.

  In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024.

Projects

• Learnware: Development, Implementation and Research. (with Huawei ModelArts, Huawei Noah). Mar. 2022 - Mar. 2023.

  Artificial Intelligence Joint Laboratory of Huawei and Nanjing University.

• Beimingwu: A Learnware Dock System. LAMDA. Mar. 2023 - Present. [Homepage, Overview] [GitLink, GitHub]

  The first systematic open-source implementation of learnware, serving as a preliminary research platform for learnware-related studies.

Awards & Honors

• Yingcai Scholarship, First Prize, Nanjing University, 2024.

• LAMDA Talent Award, Nanjing University, 2024. [3 people/year]

• Huawei Outstanding Student Award, First Prize, Huawei, 2023. [6 people/year]

• Presidential Special Scholarship for Ph.D. Student, Nanjing University, 2021.

• CCF Elite Collegiate Student Award, Beijing, 2020.

• China Collegiate Programming Contest, Silver Medal, Qinhuangdao, 2020.

• CCF Collegiate Computer Systems & Programming Contest, Gold Medal, Suzhou, 2019.

• ICPC Asia Regional Contest, Silver Medal, {Nanjing, Shanghai}, {2020, 2019}.

• National Scholarship for Undergraduates, MOE of PRC, 2020, 2019.

Teaching Assistant

• Introduction to Machine Learning (With Prof. Zhi-Hua Zhou, Asst. Prof. Peng Zhao; For Undergraduate Students, 2023 Spring)

Academic Service

• Reviewer for Conferences: NeurIPS 2024, ICLR 2025, ICML 2025.

Correspondence

Email: liujd@lamda.nju.edu.cn

Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese: 南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023)